Jobs · Information Technology · Maryland

Cyber Security AI Engineer - Director

Morgan Stanley · Baltimore, MD · Yesterday
Information Technology$85k–$150k/yrFull-time

About the role

We are seeking a AI Developer to design, build and support practical AI-enabled solutions across enterprise technology use cases. The role combines software engineering, GenAI development, data integration and responsible AI delivery. The successful candidate will work with engineering, data, platform, security and business stakeholders to turn requirements into maintainable solutions that improve productivity, automation and decision-making.

What You'll Do In The Role

  • Design, develop and support AI-powered applications, agents and workflow automations using approved Firm platforms and services.
  • Build Generative AI solutions using LLMs, prompt design, retrieval-based patterns and enterprise data sources.
  • Develop Python services, APIs, integrations and reusable components to support AI use cases.
  • Participate in the full Software Delivery Lifecycle, including design, coding, testing, deployment, documentation and support.
  • Collaborate with stakeholders across Technology, data, security, platform and business teams to understand requirements and deliver fit-for-purpose solutions.
  • Evaluate AI outputs and contribute to improvements in quality, reliability, usability and operational performance.
  • Support secure engineering practices, governance reviews, monitoring, risk controls and operational readiness for AI-enabled applications.
  • Identify opportunities to use AI responsibly to simplify processes, automate repeatable activity and improve developer or user productivity.

What You'll Bring To The Role

  • Bachelor degree in Computer Science, Software Engineering, Data Science or a related field, or equivalent practical experience.
  • Experience in software development, preferably with Python and one or more additional languages.
  • Understanding of software engineering best practices, SDLC processes, source control, automated testing and code review standards.
  • Working knowledge of Large Language Models, Generative AI concepts, prompt engineering and AI-assisted development tools.
  • Experience building or integrating APIs, backend services, data pipelines or enterprise applications.
  • Awareness of retrieval augmented generation, vector search, agentic AI patterns or AI orchestration frameworks is an advantage.
  • Understanding of secure development, data handling, privacy, risk and governance considerations for enterprise AI solutions.
  • Strong analytical thinking, attention to detail and ability to troubleshoot technical issues independently.
  • Ability to communicate clearly with technical and non-technical stakeholders in a globally distributed organization.
  • Experience in financial services, cybersecurity, data analytics, cloud platforms or enterprise AI platforms is advantageous but not required.

Additional Context

The role is intended for a practical engineer who can identify where AI genuinely adds value, build useful and maintainable solutions, and operate within Firm standards for security, governance and responsible technology delivery.

Pay

Salary range: $85,000 and $150,000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award and to participate in the relevant business unit's incentive compensation plan, which also may include a discretionary bonus component.

Schedule

Paid Time Off includes Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually, plus 10 Paid Holidays.

Benefits

  • Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account
  • Life Insurance, Disability and Other Insurance Plans
  • 401(k)
  • Short/Long Term Disability
  • Additional special perks reserved for employees

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